Homework
Computing a t-test using AGE as the independent variable and CSSE (Current statistics self-efficacy) as the dependent measure. We know from research that age 37 is a good cutpoint for our AGE variable. Use tables below to answer the questions.
Note:
¨ Levenes equality of variance tests: a significance value larger than 0.05 is good.
This means the variances for groups DO NOT differ from each other.
T-Test
Group Statistics
Age
N
Mean
Std. Deviation
Std. Error Mean
Current Stats Self-Efficacy
>= 37
45
6.44
2.833
.422
< 37
68
6.47
2.391
.290
Independent Samples Test
Levene’s Test for Equality of Variances
t-test for Equality of Means
F
Sig.
t
df
Sig. (2-tailed)
Mean Difference
Std. Error Difference
95% Confidence Interval of the Difference
Lower
Upper
Current Stats Self-Efficacy
Equal variances assumed
1.782
.185
-.053
111
.958
-.026
.495
-1.007
.954
Equal variances not assumed
-.051
83.123
.959
-.026
.512
-1.045
.993
Homework
Computing a t-test using AGE as the independent variable and CSSE (Current statistics self-efficacy) as the dependent measure. We know from research that age 37 is a good cutpoint for our AGE variable. Use tables below to answer the questions.
Note:
¨ Levenes equality of variance tests: a significance value larger than 0.05 is good.
This means the variances for groups DO NOT differ from each other.
T-Test
Group Statistics
Age
N
Mean
Std. Deviation
Std. Error Mean
Current Stats Self-Efficacy
>= 37
45
6.44
2.833
.422
< 37
68
6.47
2.391
.290
Independent Samples Test
Levene’s Test for Equality of Variances
t-test for Equality of Means
F
Sig.
t
df
Sig. (2-tailed)
Mean Difference
Std. Error Difference
95% Confidence Interval of the Difference
Lower
Upper
Current Stats Self-Efficacy
Equal variances assumed
1.782
.185
-.053
111
.958
-.026
.495
-1.007
.954
Equal variances not assumed
-.051
83.123
.959
-.026
.512
-1.045
.993